Due: ame: Unit 3 15. Imagine getting your car checked out for a serious problem (check engine light comes on). Is it really serious? Let's say the diagnostic machine is correct within 98% accuracy. If a mechanic sees a total of 8000 cars/trucks in a single year, how many are accurate? Complete the chart and answer the questions below. Imagine that out of the 8000 people, 5% actually did need work done. Fill out the chart below to test for accuracy of the machine. Total Negative Diagnostic Test •05 -.0409 Positive Diagnostic Test ,98x.05 0.649 ches 0.001 Needs serious work ,98X Does not need serious work 8000 Total If the mechanic says you need work (got a positive result), what is the probability that you actually do? What is the probability that you need work done, given you got a result of negative? 5 | Page

A research company found that 11.3% of consumers surveyed used organic shampoo. The company claims that the survey is accurate within ±3.5%, 19 times out of 20. Approximately how many people did they survey? Show your work. Answer below or attach a file with your work ** **

The American Heart Association is about to conduct an anti-smoking campaign and wants to know the fraction of Americans over 33 who smoke. step 1 of 2: suppose a sample of 1267 Americans over 33 is drawn. Of these people, 913 don't smoke. Using the data, estimate the proportion of Americans over 33 who smoke. Enter your answer as a decimal number rounded to three decimal places.

Help with MD and Interquartile.

State the generic error for an interpolating formula?

Please see the attached images for problem data. Appears that I got the problem wrong so  can use some great help!   Thanks   Data:   Program Per-Year Tuition ($) Mean Starting Salary Upon Graduation ($) 63724 153070 66630 155000 68013 146993 68300 145146 66412 139879 66543 150987 67671 150702 69927 148214 64602 133363 63552 146360 67772 146066 60752 148017 62369 141289 57816 136211 55621 122130 56385 118657 56937 128143 50884 130983 53195 131361 51351 120554 45123 114333 48225 111894 49798 109446 46568 106959 39254 81908 47213 80788 47633 99916 51018 79430 37216 88340 32877 76172 42643 73728 40997 52291 48807 66277 34080 103181 24201 56567 42467 79381 39070 52931

Suppose you are the master of the mint. If you sample 200 coins and the king has set the error tolerance at 1 ounce for individual coins, and each coin should weight 1 ounce. What is the error in the sum of the 200 coins. Round to two places.

Im not quite sure how to calculate this, please help.

Certain car manufacturers install a gauge that tells the driver how many miles they can drive until they will run out of gas. A study was conducted to test the accuracy of these gauges. Each driver was assigned a certain gauge reading until empty to watch for. When their car announced it had that many miles remaining until empty, they began to measure their distance traveled. After they ran out of gas, they reported the distance they were able to drive (in miles) as well as the gauge reading they were assigned (in miles). Here is computer output showing the regression analysis:   Identify and interpret the slope of the regression line used for predicting the actual distance that can be driven based on the gauge reading. (A) Slope = 1.1889. The predicted distance the drivers were able to drive increases by 1.1889 miles for each additional mile reported by the gauge. (B) Slope = 0.0457. The predicted distance the drivers were able to drive increases by 0.0457 miles for each additional…

Weatherwise is a magazine published by the American Meteorological Society. One issue gives a rating system used to classify Nor'easter storms that frequently hit New England and can cause much damage near the ocean. A severe storm has an average peak wave height of ? = 16.4 feet for waves hitting the shore. Suppose that a Nor'easter is in progress at the severe storm class rating. Peak wave heights are usually measured from land (using binoculars) off fixed cement piers. Suppose that a reading of 32 waves showed an average wave height of x = 17.3 feet. Previous studies of severe storms indicate that ? = 3.5 feet. Does this information suggest that the storm is (perhaps temporarily) increasing above the severe rating? Use ? = 0.01.